Abstract
Managing the costs of multiple streaming services, such as Video on Demand (VOD), Over-The-Top (OTT) media, or recurring digital memberships, can be difficult because billing cycles are often disconnected from how much a person actually uses the apps, leading to “zombie subscriptions,” or unused subscriptions that are hidden recurring payments for services that are rarely watched. The disclosed system acts as an automated financial dashboard that helps users save money and improve financial health by automatically comparing app usage (how many hours users spend watching) with financial data found in email receipts, app store records, or renewal notifications. By combining the these data streams, the system identifies low-value services and provides a report or value alert via a user interface. To better ensure accuracy, the built-in artificial intelligence may recognize seasonal patterns, such as a sports package having low usage during the off-season, to prevent unnecessary cancellation reminders. The disclosed system allows users to see a clear “cost-per-hour” for their entertainment and take direct action to cancel or keep subscriptions in one centralized location.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Verma, Akash and Yadav, Vivek, "SYSTEM FOR DETERMINING SUBSCRIPTION EFFICIENCY BY CORRELATING APPLICATION USAGE TELEMETRY WITH FINANCIAL NOTIFICATION SIGNALS", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10040